Note

Click here to download the full example code

RecoBundles80 using AFQ API

An example using the AFQ API to run recobundles with the 80 bundle atlas.

import os.path as op

import plotly

from AFQ import api
import AFQ.data as afd

Get some example data

Retrieves Stanford HARDI dataset.

afd.organize_stanford_data(clear_previous_afq=True)

Out:

  0%|          | 0/5578 [00:00<?, ? MB/s]
  0%|          | 9/5578 [00:00<01:11, 78.33 MB/s]
  1%|          | 32/5578 [00:00<00:36, 151.86 MB/s]
  1%|1         | 70/5578 [00:00<00:23, 233.74 MB/s]
  2%|1         | 109/5578 [00:00<00:19, 274.99 MB/s]
  3%|2         | 149/5578 [00:00<00:18, 300.80 MB/s]
  3%|3         | 189/5578 [00:00<00:17, 315.97 MB/s]
  4%|4         | 226/5578 [00:00<00:16, 329.89 MB/s]
  5%|4         | 260/5578 [00:00<00:16, 326.75 MB/s]
  5%|5         | 297/5578 [00:00<00:15, 337.63 MB/s]
  6%|5         | 332/5578 [00:01<00:15, 335.89 MB/s]
  7%|6         | 368/5578 [00:01<00:15, 337.89 MB/s]
  7%|7         | 403/5578 [00:01<00:15, 340.19 MB/s]
  8%|7         | 439/5578 [00:01<00:14, 345.92 MB/s]
  9%|8         | 475/5578 [00:01<00:14, 341.38 MB/s]
  9%|9         | 510/5578 [00:01<00:14, 343.75 MB/s]
 10%|9         | 546/5578 [00:01<00:14, 341.55 MB/s]
 10%|#         | 581/5578 [00:01<00:14, 342.70 MB/s]
 11%|#1        | 617/5578 [00:01<00:14, 340.76 MB/s]
 12%|#1        | 652/5578 [00:02<00:14, 341.07 MB/s]
 12%|#2        | 689/5578 [00:02<00:14, 343.96 MB/s]
 13%|#2        | 724/5578 [00:02<00:14, 341.60 MB/s]
 14%|#3        | 760/5578 [00:02<00:14, 343.14 MB/s]
 14%|#4        | 795/5578 [00:02<00:14, 339.84 MB/s]
 15%|#4        | 832/5578 [00:02<00:13, 345.14 MB/s]
 16%|#5        | 867/5578 [00:02<00:13, 341.12 MB/s]
 16%|#6        | 903/5578 [00:02<00:13, 342.95 MB/s]
 17%|#6        | 938/5578 [00:02<00:13, 340.28 MB/s]
 17%|#7        | 975/5578 [00:02<00:13, 344.94 MB/s]
 18%|#8        | 1010/5578 [00:03<00:13, 337.60 MB/s]
 19%|#8        | 1048/5578 [00:03<00:13, 340.07 MB/s]
 19%|#9        | 1083/5578 [00:03<00:13, 341.90 MB/s]
 20%|##        | 1120/5578 [00:03<00:12, 343.20 MB/s]
 21%|##        | 1155/5578 [00:03<00:12, 343.19 MB/s]
 21%|##1       | 1191/5578 [00:03<00:12, 342.36 MB/s]
 22%|##1       | 1226/5578 [00:03<00:12, 342.26 MB/s]
 23%|##2       | 1263/5578 [00:03<00:12, 345.19 MB/s]
 23%|##3       | 1298/5578 [00:03<00:12, 341.95 MB/s]
 24%|##3       | 1334/5578 [00:04<00:12, 344.00 MB/s]
 25%|##4       | 1369/5578 [00:04<00:12, 340.91 MB/s]
 25%|##5       | 1406/5578 [00:04<00:12, 346.59 MB/s]
 26%|##5       | 1441/5578 [00:04<00:12, 341.25 MB/s]
 26%|##6       | 1477/5578 [00:04<00:11, 344.94 MB/s]
 27%|##7       | 1512/5578 [00:04<00:11, 339.68 MB/s]
 28%|##7       | 1548/5578 [00:04<00:11, 345.21 MB/s]
 28%|##8       | 1583/5578 [00:04<00:11, 337.72 MB/s]
 29%|##9       | 1621/5578 [00:04<00:11, 345.07 MB/s]
 30%|##9       | 1656/5578 [00:04<00:11, 341.28 MB/s]
 30%|###       | 1692/5578 [00:05<00:11, 343.59 MB/s]
 31%|###       | 1727/5578 [00:05<00:11, 338.68 MB/s]
 32%|###1      | 1764/5578 [00:05<00:11, 346.59 MB/s]
 32%|###2      | 1799/5578 [00:05<00:11, 341.01 MB/s]
 33%|###2      | 1835/5578 [00:05<00:10, 344.92 MB/s]
 34%|###3      | 1870/5578 [00:05<00:10, 340.22 MB/s]
 34%|###4      | 1906/5578 [00:05<00:10, 344.46 MB/s]
 35%|###4      | 1941/5578 [00:05<00:10, 338.34 MB/s]
 35%|###5      | 1978/5578 [00:05<00:10, 344.95 MB/s]
 36%|###6      | 2013/5578 [00:06<00:10, 340.24 MB/s]
 37%|###6      | 2050/5578 [00:06<00:10, 333.98 MB/s]
 37%|###7      | 2089/5578 [00:06<00:10, 336.41 MB/s]
 38%|###8      | 2129/5578 [00:06<00:10, 340.12 MB/s]
 39%|###8      | 2169/5578 [00:06<00:09, 342.19 MB/s]
 40%|###9      | 2209/5578 [00:06<00:09, 343.44 MB/s]
 40%|####      | 2248/5578 [00:06<00:09, 342.09 MB/s]
 41%|####1     | 2288/5578 [00:06<00:09, 342.36 MB/s]
 42%|####1     | 2328/5578 [00:06<00:09, 343.36 MB/s]
 42%|####2     | 2368/5578 [00:07<00:09, 344.49 MB/s]
 43%|####3     | 2407/5578 [00:07<00:09, 341.92 MB/s]
 44%|####3     | 2447/5578 [00:07<00:09, 343.15 MB/s]
 45%|####4     | 2487/5578 [00:07<00:08, 344.65 MB/s]
 45%|####5     | 2527/5578 [00:07<00:08, 344.81 MB/s]
 46%|####6     | 2567/5578 [00:07<00:08, 346.36 MB/s]
 47%|####6     | 2606/5578 [00:07<00:08, 343.70 MB/s]
 47%|####7     | 2646/5578 [00:07<00:08, 343.82 MB/s]
 48%|####8     | 2686/5578 [00:07<00:08, 344.28 MB/s]
 49%|####8     | 2726/5578 [00:08<00:08, 346.11 MB/s]
 50%|####9     | 2765/5578 [00:08<00:08, 344.69 MB/s]
 50%|#####     | 2805/5578 [00:08<00:08, 345.51 MB/s]
 51%|#####1    | 2845/5578 [00:08<00:07, 346.21 MB/s]
 52%|#####1    | 2884/5578 [00:08<00:07, 358.06 MB/s]
 52%|#####2    | 2920/5578 [00:08<00:07, 345.83 MB/s]
 53%|#####2    | 2956/5578 [00:08<00:07, 339.03 MB/s]
 54%|#####3    | 2993/5578 [00:08<00:07, 345.80 MB/s]
 54%|#####4    | 3028/5578 [00:08<00:07, 341.40 MB/s]
 55%|#####4    | 3064/5578 [00:09<00:07, 344.70 MB/s]
 56%|#####5    | 3099/5578 [00:09<00:07, 338.60 MB/s]
 56%|#####6    | 3139/5578 [00:09<00:07, 340.71 MB/s]
 57%|#####6    | 3178/5578 [00:09<00:07, 340.37 MB/s]
 58%|#####7    | 3218/5578 [00:09<00:06, 341.00 MB/s]
 58%|#####8    | 3258/5578 [00:09<00:06, 342.51 MB/s]
 59%|#####9    | 3297/5578 [00:09<00:06, 340.04 MB/s]
 60%|#####9    | 3337/5578 [00:09<00:06, 341.75 MB/s]
 61%|######    | 3377/5578 [00:09<00:06, 341.89 MB/s]
 61%|######1   | 3416/5578 [00:10<00:06, 340.95 MB/s]
 62%|######1   | 3456/5578 [00:10<00:06, 342.06 MB/s]
 63%|######2   | 3496/5578 [00:10<00:06, 342.90 MB/s]
 63%|######3   | 3535/5578 [00:10<00:05, 341.10 MB/s]
 64%|######4   | 3575/5578 [00:10<00:05, 341.85 MB/s]
 65%|######4   | 3615/5578 [00:10<00:05, 342.70 MB/s]
 66%|######5   | 3654/5578 [00:10<00:05, 340.86 MB/s]
 66%|######6   | 3694/5578 [00:10<00:05, 340.98 MB/s]
 67%|######6   | 3734/5578 [00:11<00:05, 342.21 MB/s]
 68%|######7   | 3774/5578 [00:11<00:05, 343.09 MB/s]
 68%|######8   | 3813/5578 [00:11<00:05, 341.72 MB/s]
 69%|######9   | 3853/5578 [00:11<00:05, 342.00 MB/s]
 70%|######9   | 3893/5578 [00:11<00:04, 342.60 MB/s]
 71%|#######   | 3933/5578 [00:11<00:04, 343.07 MB/s]
 71%|#######1  | 3972/5578 [00:11<00:04, 341.48 MB/s]
 72%|#######1  | 4012/5578 [00:11<00:04, 342.83 MB/s]
 73%|#######2  | 4052/5578 [00:11<00:04, 344.62 MB/s]
 73%|#######3  | 4092/5578 [00:12<00:04, 345.56 MB/s]
 74%|#######4  | 4131/5578 [00:12<00:04, 343.58 MB/s]
 75%|#######4  | 4171/5578 [00:12<00:04, 343.93 MB/s]
 75%|#######5  | 4211/5578 [00:12<00:03, 343.78 MB/s]
 76%|#######6  | 4251/5578 [00:12<00:03, 344.31 MB/s]
 77%|#######6  | 4290/5578 [00:12<00:03, 341.89 MB/s]
 78%|#######7  | 4330/5578 [00:12<00:03, 342.75 MB/s]
 78%|#######8  | 4370/5578 [00:12<00:03, 343.46 MB/s]
 79%|#######9  | 4409/5578 [00:13<00:03, 342.56 MB/s]
 80%|#######9  | 4446/5578 [00:13<00:03, 348.95 MB/s]
 80%|########  | 4481/5578 [00:13<00:03, 343.12 MB/s]
 81%|########  | 4518/5578 [00:13<00:03, 348.93 MB/s]
 82%|########1 | 4553/5578 [00:13<00:02, 341.95 MB/s]
 82%|########2 | 4589/5578 [00:13<00:02, 346.10 MB/s]
 83%|########2 | 4624/5578 [00:13<00:02, 341.11 MB/s]
 84%|########3 | 4660/5578 [00:13<00:02, 344.78 MB/s]
 84%|########4 | 4695/5578 [00:13<00:02, 340.77 MB/s]
 85%|########4 | 4732/5578 [00:13<00:02, 346.05 MB/s]
 85%|########5 | 4767/5578 [00:14<00:02, 342.75 MB/s]
 86%|########6 | 4803/5578 [00:14<00:02, 344.64 MB/s]
 87%|########6 | 4838/5578 [00:14<00:02, 341.79 MB/s]
 87%|########7 | 4875/5578 [00:14<00:02, 346.83 MB/s]
 88%|########8 | 4910/5578 [00:14<00:01, 341.99 MB/s]
 89%|########8 | 4946/5578 [00:14<00:01, 345.10 MB/s]
 89%|########9 | 4981/5578 [00:14<00:01, 339.64 MB/s]
 90%|########9 | 5018/5578 [00:14<00:01, 348.28 MB/s]
 91%|######### | 5053/5578 [00:14<00:01, 338.32 MB/s]
 91%|#########1| 5091/5578 [00:14<00:01, 334.06 MB/s]
 92%|#########1| 5131/5578 [00:15<00:01, 337.07 MB/s]
 93%|#########2| 5171/5578 [00:15<00:01, 339.76 MB/s]
 93%|#########3| 5211/5578 [00:15<00:01, 341.25 MB/s]
 94%|#########4| 5250/5578 [00:15<00:00, 339.12 MB/s]
 95%|#########4| 5290/5578 [00:15<00:00, 339.36 MB/s]
 96%|#########5| 5330/5578 [00:15<00:00, 340.30 MB/s]
 96%|#########6| 5370/5578 [00:15<00:00, 341.25 MB/s]
 97%|#########6| 5410/5578 [00:15<00:00, 341.92 MB/s]
 98%|#########7| 5449/5578 [00:16<00:00, 340.06 MB/s]
 98%|#########8| 5489/5578 [00:16<00:00, 341.67 MB/s]
 99%|#########9| 5529/5578 [00:16<00:00, 342.19 MB/s]
100%|#########9| 5569/5578 [00:16<00:00, 343.22 MB/s]
100%|##########| 5578/5578 [00:16<00:00, 339.85 MB/s]

  0%|          | 0/1 [00:00<?, ? MB/s]
100%|##########| 1/1 [00:00<00:00, 2213.35 MB/s]

  0%|          | 0/1 [00:00<?, ? MB/s]
100%|##########| 1/1 [00:00<00:00, 2106.63 MB/s]

  0%|          | 0/71 [00:00<?, ? MB/s]
 11%|#1        | 8/71 [00:00<00:00, 72.37 MB/s]
 34%|###3      | 24/71 [00:00<00:00, 114.12 MB/s]
 72%|#######1  | 51/71 [00:00<00:00, 172.11 MB/s]
100%|##########| 71/71 [00:00<00:00, 185.31 MB/s]

  0%|          | 0/4 [00:00<?, ? MB/s]
100%|##########| 4/4 [00:00<00:00, 86.43 MB/s]

  0%|          | 0/1 [00:00<?, ? MB/s]
100%|##########| 1/1 [00:00<00:00, 2391.28 MB/s]

Set tractography parameters (optional)

We make this tracking_params which we will pass to the AFQ object which specifies that we want 50,000 seeds randomly distributed in the white matter.

We only do this to make this example faster and consume less space.

tracking_params = dict(n_seeds=50000,
                       random_seeds=True,
                       rng_seed=42)

Initialize an AFQ object:

We specify seg_algo as reco80 in segmentation_params. This tells the AFQ object to perform RecoBundles using the 80 bundles atlas in the segmentation step.

myafq = api.AFQ(bids_path=op.join(afd.afq_home,
                                  'stanford_hardi'),
                preproc_pipeline='vistasoft',
                segmentation_params={"seg_algo": "reco80"},
                tracking_params=tracking_params)

Out:

Downloading https://templateflow.s3.amazonaws.com/tpl-MNI152NLin2009cAsym/tpl-MNI152NLin2009cAsym_res-01_T1w.nii.gz

  0%|          | 0.00/13.4k [00:00<?, ?B/s]
  0%|          | 33.0/13.4k [00:00<00:54, 243B/s]
  1%|1         | 152/13.4k [00:00<00:21, 610B/s]
  5%|5         | 696/13.4k [00:00<00:05, 2.14kB/s]
 21%|##1       | 2.84k/13.4k [00:00<00:01, 7.42kB/s]
 51%|#####1    | 6.82k/13.4k [00:00<00:00, 16.8kB/s]
 68%|######8   | 9.12k/13.4k [00:00<00:00, 18.3kB/s]
 94%|#########4| 12.6k/13.4k [00:00<00:00, 23.0kB/s]
13.4kB [00:00, 14.8kB/s]
Downloading https://templateflow.s3.amazonaws.com/tpl-MNI152NLin2009cAsym/tpl-MNI152NLin2009cAsym_res-01_desc-brain_mask.nii.gz

  0%|          | 0.00/155 [00:00<?, ?B/s]
 22%|##1       | 34.0/155 [00:00<00:00, 273B/s]
 88%|########7 | 136/155 [00:00<00:00, 588B/s]
156B [00:00, 613B/s]

Visualizing bundles and tract profiles:

This would run the script and visualize the bundles using the plotly interactive visualization, which should automatically open in a new browser window.

bundle_html = myafq.all_bundles_figure
plotly.io.show(bundle_html["01"])

Out:

Optimizing level 2 [max iter: 10000]
Optimizing level 1 [max iter: 1000]
Optimizing level 0 [max iter: 100]
Optimizing level 2 [max iter: 10000]
Optimizing level 1 [max iter: 1000]
Optimizing level 0 [max iter: 100]
Optimizing level 2 [max iter: 10000]
Optimizing level 1 [max iter: 1000]
Optimizing level 0 [max iter: 100]

  0%|          | 0/19503 [00:00<?, ? MB/s]
  0%|          | 1/19503 [00:00<46:36,  6.97 MB/s]
  0%|          | 3/19503 [00:00<29:27, 11.03 MB/s]
  0%|          | 5/19503 [00:00<26:21, 12.33 MB/s]
  0%|          | 9/19503 [00:00<17:40, 18.38 MB/s]
  0%|          | 20/19503 [00:00<08:16, 39.20 MB/s]
  0%|          | 41/19503 [00:00<04:19, 75.07 MB/s]
  0%|          | 83/19503 [00:01<02:13, 145.39 MB/s]
  1%|          | 166/19503 [00:01<01:08, 281.44 MB/s]
  2%|1         | 334/19503 [00:01<00:34, 556.40 MB/s]
  3%|2         | 518/19503 [00:01<00:24, 773.53 MB/s]
  4%|3         | 703/19503 [00:01<00:20, 922.92 MB/s]
  5%|4         | 890/19503 [00:01<00:17, 1035.19 MB/s]
  5%|5         | 1072/19503 [00:01<00:16, 1101.17 MB/s]
  6%|6         | 1258/19503 [00:02<00:15, 1156.19 MB/s]
  7%|7         | 1447/19503 [00:02<00:15, 1201.62 MB/s]
  8%|8         | 1638/19503 [00:02<00:14, 1237.55 MB/s]
  9%|9         | 1828/19503 [00:02<00:14, 1260.90 MB/s]
 10%|#         | 2013/19503 [00:02<00:13, 1265.39 MB/s]
 11%|#1        | 2201/19503 [00:02<00:13, 1275.62 MB/s]
 12%|#2        | 2389/19503 [00:02<00:13, 1282.97 MB/s]
 13%|#3        | 2577/19503 [00:03<00:13, 1288.22 MB/s]
 14%|#3        | 2706/19503 [00:03<00:14, 1148.72 MB/s]
 14%|#4        | 2822/19503 [00:03<00:15, 1050.66 MB/s]
 15%|#5        | 2928/19503 [00:03<00:17, 958.73 MB/s]
 16%|#5        | 3093/19503 [00:03<00:16, 1017.87 MB/s]
 17%|#6        | 3278/19503 [00:03<00:14, 1096.66 MB/s]
 18%|#7        | 3464/19503 [00:03<00:13, 1152.57 MB/s]
 19%|#8        | 3650/19503 [00:04<00:13, 1192.56 MB/s]
 20%|#9        | 3836/19503 [00:04<00:12, 1220.56 MB/s]
 21%|##        | 4022/19503 [00:04<00:12, 1240.61 MB/s]
 22%|##1       | 4209/19503 [00:04<00:12, 1256.04 MB/s]
 23%|##2       | 4397/19503 [00:04<00:11, 1269.33 MB/s]
 23%|##3       | 4583/19503 [00:04<00:11, 1273.51 MB/s]
 24%|##4       | 4772/19503 [00:04<00:11, 1283.37 MB/s]
 25%|##5       | 4957/19503 [00:05<00:11, 1282.30 MB/s]
 26%|##6       | 5145/19503 [00:05<00:11, 1287.55 MB/s]
 27%|##7       | 5330/19503 [00:05<00:11, 1285.30 MB/s]
 28%|##8       | 5520/19503 [00:05<00:10, 1294.10 MB/s]
 29%|##9       | 5705/19503 [00:05<00:10, 1289.00 MB/s]
 30%|###       | 5892/19503 [00:05<00:10, 1289.18 MB/s]
 31%|###1      | 6079/19503 [00:05<00:10, 1290.21 MB/s]
 32%|###2      | 6265/19503 [00:06<00:10, 1288.38 MB/s]
 33%|###3      | 6452/19503 [00:06<00:10, 1289.63 MB/s]
 34%|###4      | 6639/19503 [00:06<00:09, 1291.53 MB/s]
 35%|###5      | 6827/19503 [00:06<00:09, 1293.65 MB/s]
 36%|###5      | 7012/19503 [00:06<00:09, 1289.15 MB/s]
 37%|###6      | 7197/19503 [00:06<00:09, 1286.64 MB/s]
 38%|###7      | 7384/19503 [00:06<00:09, 1288.24 MB/s]
 39%|###8      | 7572/19503 [00:07<00:09, 1291.01 MB/s]
 40%|###9      | 7761/19503 [00:07<00:09, 1295.49 MB/s]
 41%|####      | 7950/19503 [00:07<00:08, 1299.16 MB/s]
 42%|####1     | 8139/19503 [00:07<00:08, 1301.43 MB/s]
 43%|####2     | 8328/19503 [00:07<00:08, 1302.91 MB/s]
 44%|####3     | 8519/19503 [00:07<00:08, 1307.80 MB/s]
 45%|####4     | 8708/19503 [00:07<00:08, 1307.99 MB/s]
 46%|####5     | 8899/19503 [00:08<00:08, 1312.74 MB/s]
 47%|####6     | 9086/19503 [00:08<00:07, 1306.29 MB/s]
 48%|####7     | 9271/19503 [00:08<00:07, 1297.66 MB/s]
 48%|####8     | 9455/19503 [00:08<00:07, 1290.81 MB/s]
 49%|####9     | 9643/19503 [00:08<00:07, 1293.91 MB/s]
 50%|#####     | 9830/19503 [00:08<00:07, 1293.19 MB/s]
 51%|#####1    | 10022/19503 [00:08<00:07, 1303.55 MB/s]
 52%|#####2    | 10211/19503 [00:09<00:07, 1304.29 MB/s]
 53%|#####3    | 10400/19503 [00:09<00:06, 1305.14 MB/s]
 54%|#####4    | 10590/19503 [00:09<00:06, 1307.71 MB/s]
 55%|#####5    | 10779/19503 [00:09<00:06, 1307.88 MB/s]
 56%|#####6    | 10965/19503 [00:09<00:06, 1300.46 MB/s]
 57%|#####7    | 11152/19503 [00:09<00:06, 1298.14 MB/s]
 58%|#####8    | 11339/19503 [00:09<00:06, 1296.36 MB/s]
 59%|#####9    | 11526/19503 [00:10<00:06, 1294.84 MB/s]
 60%|######    | 11714/19503 [00:10<00:06, 1296.93 MB/s]
 61%|######1   | 11902/19503 [00:10<00:05, 1297.76 MB/s]
 62%|######2   | 12093/19503 [00:10<00:05, 1303.28 MB/s]
 63%|######2   | 12285/19503 [00:10<00:05, 1293.50 MB/s]
 64%|######3   | 12472/19503 [00:10<00:05, 1313.00 MB/s]
 65%|######4   | 12661/19503 [00:11<00:05, 1311.75 MB/s]
 66%|######5   | 12846/19503 [00:11<00:05, 1301.75 MB/s]
 67%|######6   | 13030/19503 [00:11<00:05, 1291.76 MB/s]
 68%|######7   | 13222/19503 [00:11<00:04, 1302.43 MB/s]
 69%|######8   | 13410/19503 [00:11<00:04, 1301.65 MB/s]
 70%|######9   | 13601/19503 [00:11<00:04, 1307.85 MB/s]
 71%|#######   | 13789/19503 [00:11<00:04, 1305.27 MB/s]
 72%|#######1  | 13976/19503 [00:12<00:04, 1301.30 MB/s]
 73%|#######2  | 14163/19503 [00:12<00:04, 1299.26 MB/s]
 74%|#######3  | 14347/19503 [00:12<00:03, 1290.53 MB/s]
 75%|#######4  | 14533/19503 [00:12<00:03, 1288.72 MB/s]
 75%|#######5  | 14724/19503 [00:12<00:03, 1298.33 MB/s]
 76%|#######6  | 14911/19503 [00:12<00:03, 1297.63 MB/s]
 77%|#######7  | 15101/19503 [00:12<00:03, 1301.94 MB/s]
 78%|#######8  | 15292/19503 [00:13<00:03, 1307.81 MB/s]
 79%|#######9  | 15481/19503 [00:13<00:03, 1307.56 MB/s]
 80%|########  | 15668/19503 [00:13<00:02, 1303.59 MB/s]
 81%|########1 | 15854/19503 [00:13<00:02, 1297.49 MB/s]
 82%|########2 | 16039/19503 [00:13<00:02, 1291.65 MB/s]
 83%|########3 | 16230/19503 [00:13<00:02, 1300.80 MB/s]
 84%|########4 | 16414/19503 [00:13<00:02, 1293.11 MB/s]
 85%|########5 | 16602/19503 [00:14<00:02, 1294.93 MB/s]
 86%|########6 | 16791/19503 [00:14<00:02, 1298.46 MB/s]
 87%|########7 | 16982/19503 [00:14<00:01, 1304.96 MB/s]
 88%|########8 | 17174/19503 [00:14<00:01, 1293.64 MB/s]
 89%|########9 | 17363/19503 [00:14<00:01, 1315.19 MB/s]
 90%|########9 | 17551/19503 [00:14<00:01, 1310.11 MB/s]
 91%|######### | 17740/19503 [00:14<00:01, 1309.05 MB/s]
 92%|#########1| 17928/19503 [00:15<00:01, 1306.50 MB/s]
 93%|#########2| 18118/19503 [00:15<00:01, 1308.68 MB/s]
 94%|#########3| 18304/19503 [00:15<00:00, 1301.62 MB/s]
 95%|#########4| 18491/19503 [00:15<00:00, 1298.47 MB/s]
 96%|#########5| 18682/19503 [00:15<00:00, 1305.54 MB/s]
 97%|#########6| 18869/19503 [00:15<00:00, 1302.50 MB/s]
 98%|#########7| 19056/19503 [00:15<00:00, 1299.39 MB/s]
 99%|#########8| 19243/19503 [00:16<00:00, 1296.51 MB/s]
100%|#########9| 19433/19503 [00:16<00:00, 1301.99 MB/s]
100%|##########| 19503/19503 [00:16<00:00, 1201.70 MB/s]

Total running time of the script: ( 41 minutes 32.109 seconds)

Gallery generated by Sphinx-Gallery

previous

Examples

next

AFQ API